- Issue
- High-difficulty nuclear inspection of thousands of tubes in a short outage window
- Solution
- Combining 40 years of KHNP NDT data with DEEP-AI, we built an auto-reading system for BOP heat-exchanger tube eddy-current inspection.
Industry sites where
DEEP-AI technology is applied
Explore each industry's field challenges and how DEEP-AI solves them.
Nuclear
Maximize system safety and inspection speed with high-precision AI reading automation for nuclear heat-exchanger tubes.
DEEP-ECTEPRI AAPDDBOPH-A
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Oil & Chemical
Inspect more assets in fixed turnaround windows and speed maintenance decisions with AI reading.
DEEP-ECTDEEP-IRISTurnaround support
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Power & Energy
Digitize inspection history and track defect trends to manage outage risk early.
DEEP-ECTDEEP-IRISUrgent maintenance
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Automotive
Automate NDT for auto parts and battery processes to cut reading errors and sharply raise line inspection speed and efficiency.
Quality monitoringBattery partsWelds
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Other industries
Provide AI solutions optimized for complex NDT in pipe corrosion, shipbuilding, and aerospace—closing blind spots and raising field trust.
Piping corrosionSMRMarine & shipbuilding
Nuclear,
Safer with AI
Solving hard nuclear-site problems firsthand
with proven technology—
setting a new standard for nuclear NDT AI in Korea
Thousands to tens of thousands of tubes—
AI shortens interpretation time
AI Agent analysis modules review signals first so experts can focus on verification and judgment.
Safety-critical inspections,
proven with high-level certifications
We were first to earn KHNP BOPH-A for AI and secured EPRI AAPDD certification—validating accuracy and trust for nuclear sites.
Complex procedures,
woven into the product workflow
DEEP-NDT OS embeds procedures so users follow a defined path for inspection, review, and reporting.
CASE STUDY
- Issue
- Need to validate reliability and remote applicability for overseas nuclear assets
- Solution
- Applied eddy-current auto-reading to condenser and HP heater NDT at UAE Barakah—confirming global applicability.
During T/A,
clearing the inspection bottleneck
Short turnarounds, bulk heat-exchanger inspection,
and history management—AI NDT for oil & petrochemical sites
Tens of thousands of exchangers in a T/A window—
AI raises throughput
AI auto-reading shortens interpretation so more assets can be inspected in the same turnaround.
Tube anomalies and part defects,
judged with consistent criteria
AI analyzes tube anomalies—a top heat-exchanger failure cause—against standardized criteria to cut reading variance.
From PDF-centric results
to data-driven operations
DEEP-NDT OS links results with asset history for trend analysis, prioritization, and predictive maintenance decisions.
CASE STUDY
- Issue
- Rising exchanger inspection volume and reading variance during turnaround
- Solution
- Adopted AI NDT to reduce variance and build a data-centered inspection operating model.
- Issue
- ECT/IRIS results were fragmented—hard to link history with decisions
- Solution
- Built a platform unifying results and history to improve operating efficiency and data use.
Asset anomalies,
judged faster
From uptime and asset life to maintenance priority—
AI NDT for power & energy sites
Aging assets and tube anomalies—
AI tracks how they change
DEEP-NDT OS tracks campaign-by-campaign data so defect changes can be reviewed over time.
Unplanned outage risk—
addressed via maintenance priority
AI analyzes growth rates and asset condition so high-risk equipment is reviewed first.
Replacement timing—
shifted to data-driven decisions
History DB and trend analysis reduce both over-replacement and delayed replacement while managing life and plans.
CASE STUDY
Company S
- Issue
- Need in-house judgment and fast checks for urgent asset anomalies
- Solution
- Deployed ECT hardware with AI analysis software to establish an in-house inspection capability.
Company K
- Issue
- Must decide urgent replacement without a site visit
- Solution
- Collected and analyzed inspection data remotely to review replacement decisions quickly.
Automotive quality inspection,
more accurate with AI
High-volume inspection, quality variance, and history on auto/EV parts lines—
elevated with an AI NDT platform
High-volume part inspection—
AI raises speed and consistency
AI analyzes repeat inspection data first to cut inspector load
and keep quality criteria consistent.
Safety-critical parts—
spot defect risk earlier
Rapidly triage micro-defects, joint issues, and internal anomalies
to lower escape risk.
Results and quality history,
traced by product
Track results as data for lot, part, and process history
and connect them to root-cause and improvement work.
CASE STUDY
Company HD
- Issue
- Recurring inspection variance and quality risk in high-volume lines
- Solution
- Built AI analysis software for an in-house inspection system and strengthened quality standards.
Company HJ
- Issue
- Need data-based quality judgment and fast decisions without site visits
- Solution
- Collected and analyzed inspection data remotely to support quality judgment and decisions.
Looking for the right AI inspection approach for your industry?
Review your field data with DEEP-AI and design a practical path to inspection automation.